Pengyu Wang
32 papers · 2013–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(67)
π€
Dynamic Duo
(15)
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Conference Pioneer
π₯
Unstoppable
(5)
β‘
Prolific Year
(11)
π
Century Club
(30)
ποΈ
Keyword Collector
(145)
π
Trend Setter
Conferences
EMNLP (8)
ACL (6)
MICCAI (4)
AAAI (2)
COLING (2)
INTERSPEECH (2)
NAACL (2)
NIPS (2)
AISTATS (1)
CONLL (1)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
large language model
(12)
reinforcement learning from human feedback
(3)
multi-modal learning
(3)
direct preference optimization
(2)
representation learning
(2)
intent classification
(2)
convolution neural network
(2)
out-of-domain detection
(2)
inference-time alignment
(2)
speech generation
(2)
self-supervised learning
(2)
bayesian inference
(2)
source localization
(2)
text classification
(2)
multimodal large language model
(2)
natural language processing
(1)
multi-task learning
(1)
ensemble learning
(1)
benchmark evaluation
(1)
transfer learning
(1)
Papers
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
ACL 2026
Proactive Constrained Policy Optimization with Preemptive Penalty
AAAI 2026
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
ICLR 2025
Decoupled Proxy Alignment: Mitigating Language Prior Conflict for Multimodal Alignment in MLLMs
EMNLP 2025
UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets
EMNLP 2025
Adversarial Preference Learning for Robust LLM Alignment
ACL 2025
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
EMNLP 2025
LongSafety: Enhance Safety for Long-Context LLMs
ACL 2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
NAACL 2025
Case2Code: Scalable Synthetic Data for Code Generation
COLING 2025
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
NAACL 2025
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
EMNLP 2024
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization
NIPS 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
ACL 2024
Sparsity-Accelerated Training for Large Language Models
ACL 2024
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
COLING 2024
SpeechAlign: Aligning Speech Generation to Human Preferences
NIPS 2024
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
MICCAI 2024
fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
MICCAI 2024
GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
MICCAI 2024
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
MICCAI 2024
Watermarking LLMs with Weight Quantization
EMNLP 2023
SeqXGPT: Sentence-Level AI-Generated Text Detection
EMNLP 2023
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification
ACL 2023
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
EMNLP 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
EMNLP 2023
Joint Estimation of Direction-of-Arrival and Distance for Arrays with Directional Sensors based on Sparse Bayesian Learning
INTERSPEECH 2022
Spectro-Temporal SubNet for Real-Time Monaural Speech Denoising and Dereverberation
INTERSPEECH 2022
EventHPE: Event-Based 3D Human Pose and Shape Estimation
ICCV 2021
Collapsed Variational Bayesian Inference for PCFGs
CONLL 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models
AISTATS 2013